Full Stack Engineers with AI skills to design, develop and deploy full stack applications applying Claude AI and GenAI tools to accelerate engineering workflows across the entire SDLC from requirements and design through to deployment and monitoring.

Key Responsibilities :

- Quick learner and able to adapt quickly.

- Able to understand code and system design deeply with varying languages java, python, js.

- Able to review code and understand system design at scale, may PR and substantial code review on regular basis.

- Expertise in AISDLC frameworks like BMAD, GSD, SPECKIT etc.

- Design and deliver end to end web applications UI through API through database integrating AI features.

- Build scalable production grade RESTful APIs using Python.

- Develop responsive high performance front end applications using Angular 16 or equivalent modern frameworks.

- Integrate AI ML capabilities (Open AI, Azure AI, Claude Anthropic, AWS AI) via APIs into product features.

- Use Claude AI to accelerate SDLC tasks, code generation, code review, debugging, refactoring and technical documentation.

- Apply prompt engineering techniques to craft effective prompts that boost development productivity and quality.

- Work closely with AI Architects, QEs and BAs within Agile squads to deliver sprint commitments.

- Write clean, secure, testable code aligned with architectural standards and coding guidelines.

- Participate in code reviews, design discussions and Agile ceremonies.

- Support cross platform optimization, performance tuning and scalability improvements.

- Integrate asynchronous messaging and event driven architectures (Kafka, RabbitMQ) where required.

- Deploy and manage applications using Docker and Kubernetes.

Technical Skills :

- Full stack development experience

- AISDLC frameworks like BMAD, GSD, SPECKIT etc.

- Backend : Java, Python, JS, clean API design, versioning, auth, error handling, observability.

- Front end : Angular 16 preferred or equivalent modern framework, responsive high performance UIs.

- Databases : SQL and NoSQL, schema design, indexing, query optimization.

- APIs : RESTful design patterns, experience with WebSockets or real time communication preferred.

- Infrastructure : Docker, Kubernetes, deployment, scaling, container orchestration.

- Messaging : Kafka, RabbitMQ or similar asynchronous processing systems.

- Proficient in using Claude AI (Anthropic, Claude Sonnet, Haiku) for day to day engineering tasks.

- Prompt engineering : ability to craft, iterate and optimize prompts for code generation, explanation, review and test creation.

- AI integration experience : calling LLM APIs (Claude, Open AI, Azure Open AI, AWS Bedrock) from application code.

- Understanding of LLM concepts : context windows, token limits, embeddings, RAG basics, latency and cost tradeoffs.

- Use of AI tools : Claude, GitHub Copilot or equivalent to measurably reduce development cycle time.

- Collaborative development with data scientists and ML engineers to productionize AI components.